Jobs at Databricks

Prospects and closes net-new enterprise accounts for Databricks’ cloud data platform. Develops account strategies, engages buying centers, identifies use cases, communicates technical and business value, orchestrates internal teams, negotiates deals, and exceeds sales quotas. The role requires SaaS, cloud, or big data sales experience, executive relationships, and the ability to sell complex technology to digital-native customers.

Customer-facing senior engineer who architects, implements, and productionizes end-to-end data and AI solutions on Databricks. Responsibilities include Spark-based distributed data engineering, ML/AI model integration, CI/CD deployments, technical project delivery, stakeholder engagement, reusable assets creation, and providing product/implementation feedback.

Drive enterprise SaaS sales for Databricks by prospecting, identifying buying centers, developing account strategies, communicating platform value, guiding negotiations, closing new accounts, and expanding existing relationships. The role requires consultative selling of cloud, big data, and AI technologies, engagement with CIOs and decision-makers, quota attainment, and collaboration across teams.

Leads partner technical enablement and platform adoption for Customer Lake and Lakewatch. Co-architects enterprise data solutions, expands observability deployments, advises partner executives, creates reusable architectures and deployment blueprints, and coordinates cross-functional go-to-market initiatives. The role requires advanced coding, data architecture, Databricks, cloud, data governance, monitoring, and executive influence expertise, with responsibility for driving consumption growth and competitive enterprise wins.

Drive enterprise adoption of Databricks Genie by achieving consumption, bookings, and activation goals. Build executive-backed opportunities, develop repeatable field plays, enable account teams, and coordinate sales, solutions architecture, business units, and partners. Translate customer and market feedback into product and go-to-market recommendations while expanding production deployments. The role requires enterprise software sales or consulting experience in BI, analytics, data platforms, embedded analytics, or business-facing AI, along with complex buying-center navigation, value selling, land-and-expand execution, and partner strategy development.

Lead strategic enterprise sales for Databricks’ Data Intelligence Platform within a focused enterprise account. Build relationships with CIOs and business leaders, expand usage across business units, drive value-based growth, exceed pipeline and revenue targets, manage forecasts in Salesforce, and develop internal and customer success plans. The role requires selling big data, cloud, SaaS, analytics, and AI solutions to large accounts using a consumption-based model.

Lead analyst relations programs to improve Databricks’ positioning in industry evaluations, including Gartner, Forrester, and IDC. Develop differentiated narratives, submissions, demonstrations, customer evidence, and executive briefings. Scale analyst relations through AI-assisted workflows, convert analyst feedback into product and go-to-market recommendations, and influence product, marketing, sales, and executive teams. Manage multiple deadline-driven workstreams while improving analyst advocacy, market visibility, and evaluation outcomes.

The Director, AI Sales will grow Databricks’ enterprise AI business by driving strategic account adoption, production usage, bookings, and consumption. Responsibilities include developing AI sales plays, enabling field teams, securing executive and technical sponsorship, advancing complex opportunities, coordinating sales and partner stakeholders, and translating customer feedback into product and go-to-market recommendations.

Drive enterprise sales of Databricks’ cloud data platform across new and existing accounts. Develop territory plans, engage CIOs and other senior decision-makers, manage complex sales cycles, identify opportunities, exceed pipeline and revenue targets, maintain Salesforce forecasting data, and use solution-based selling to communicate the value of Databricks, Apache Spark, and big data technologies.

Lead and grow an enterprise sales team responsible for quota attainment, new-logo acquisition, Databricks usage growth, forecasting, and customer outcomes. Build trusted customer and partner relationships, develop enterprise territories, promote value-based selling, and foster a high-performance culture. The role requires leading account executives in Big Data, cloud, analytics, and AI markets while supporting regional growth plans and partner ecosystems.

Lead GTM compensation strategy and programs: design pay frameworks, manage lifecycle compensation processes, analyze market and comp data, advise founders and senior leaders, and scale enterprise-wide compensation solutions.

Build and grow Databricks’ CustomerLake sales business across enterprise and strategic accounts. Partner with Account Executives to develop pipeline, engage CMOs and marketing leaders, lead complex evaluations and negotiations, create quantified business cases, and drive adoption and revenue. The role also develops repeatable sales plays, enables field teams and partners, and shapes the emerging CustomerLake sales strategy.

Leads global pipeline strategy, executive pipeline governance, and Sales Development capacity planning. Builds pipeline targets, coverage models, operating cadences, compensation frameworks, and career architecture for xDR teams. Partners cross-functionally across Sales, Marketing, Partnerships, Product GTM, and Programs to improve pipeline generation and executive decision-making. Uses AI, automation, analytics, and strategic reporting to optimize workflows, productivity, and account coverage.

Lead Databricks’ global Genie sales organization, driving revenue growth, pipeline, enterprise adoption, and repeatable sales plays. Recruit and develop specialist sellers, coach complex enterprise deals, engage executive stakeholders, and partner with account teams, product, engineering, marketing, cloud providers, systems integrators, and ISVs. Shape product and go-to-market strategy while positioning Genie as a conversational analytics and enterprise data intelligence platform.

Leads technical strategy for customer accounts by designing scalable data, AI, streaming, and analytics architectures. Advises senior technical stakeholders, drives Databricks adoption and consumption, supports competitive technical wins, coordinates cross-functional resources, and provides product feedback. The role requires strong Python and SQL coding, distributed data systems expertise, public cloud deployment experience, and the ability to communicate architecture and business value effectively.

Leads strategic partnerships with cloud hyperscalers and neoclouds, negotiating bespoke commercial agreements and developing long-term growth opportunities. Collaborates with product, engineering, finance, sales, and marketing teams; builds executive relationships; creates data-driven business cases; influences product decisions; and establishes KPIs to measure partnership success. Requires extensive business development experience, cloud consumption-model expertise, strong analytical and presentation skills, and the ability to independently lead complex deals.

Build and maintain AI-native skills taxonomies, capability models, learning context, instrumentation, and APIs for Databricks employees, customers, and partners. Develop LLM-driven extraction, agentic pipelines, drift and gap detection, and live capability measurement. Partner across content, curriculum, certification, product, and enablement teams to ensure technical skills are consistently defined, assessed, and applied. Use Python, SQL, analysis, and clear writing to advance strategy as an individual contributor.

Leads joint marketing strategy and execution with AWS and AI/ISV partners, driving demand, pipeline, customer adoption, co-marketing campaigns, events, content, product launches, and customer proof points. Manages marketing development funds, partner budgets, governance, ROI reporting, and scalable regional campaign programs while aligning product marketing, partner management, solution architecture, and regional marketing teams.

Leads global product and GTM alliance enablement from strategy through execution. Builds sales plays, positioning, demos, competitive readiness, certification, AI-enabled content pipelines, and tooling that help sellers adopt new products, increase consumption, improve deal velocity, and raise win rates. Partners cross-functionally with Product, Marketing, Alliances, GTM, sales leadership, and subject-matter experts while establishing metrics, operating rhythms, and scalable enablement processes.

Leads the strategy, processes, and AI-native systems that personalize sales and sales development enablement by role, tenure, segment, industry, and region. Builds apps, agents, skills, content, and automated workflows; partners with global and regional enablement teams; pilots and iterates programs; establishes metrics and operating cadence; and influences senior sales leaders to improve ramp time, seller productivity, pipeline, and win rates.